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Open AccessArticle

Use of Markov Decision Processes in the Evaluation of Corrective Maintenance Scheduling Policies for Offshore Wind Farms

Department of Civil and Environmental Engineering, Norwegian University of Science and Technology NTNU, NO-7491 Trondheim, Norway
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Energies 2019, 12(15), 2993; https://doi.org/10.3390/en12152993
Received: 18 June 2019 / Revised: 28 July 2019 / Accepted: 2 August 2019 / Published: 3 August 2019
(This article belongs to the Special Issue Maintenance Management of Wind Turbines)
Optimization of the maintenance policies for offshore wind parks is an important step in lowering the costs of energy production from wind. The yield from wind energy production is expected to fall, which will increase the need to be cost efficient. In this article, the Markov decision process is presented and how it can be applied to evaluate different policies for corrective maintenance planning. In the case study, we show an alternative to the current state-of-the-art policy for corrective maintenance that will achieve a cost-reduction when energy production prices drop below the current levels. The presented method can be extended and applied to evaluate additional policies, with some examples provided. View Full-Text
Keywords: maintenance planning; maintenance strategy; maintenance; corrective maintenance; repair; offshore wind energy; maintenance scheduling; optimization; modeling maintenance planning; maintenance strategy; maintenance; corrective maintenance; repair; offshore wind energy; maintenance scheduling; optimization; modeling
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Seyr, H.; Muskulus, M. Use of Markov Decision Processes in the Evaluation of Corrective Maintenance Scheduling Policies for Offshore Wind Farms. Energies 2019, 12, 2993.

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